{"id":"W6962427759","doi":"10.15468/dl.yj8vas","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009679903,0.001861401,0.001510137,0.004792985,0.0009347746,0.0025105,0.002656633,0.002034662,0.1635752],"category_scores_gemma":[0.006383582,0.0008707001,0.001213059,0.008738814,0.0004296385,0.002230238,0.002426658,0.001902071,0.2198535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479682,"about_ca_system_score_gemma":0.002169531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006596,"about_ca_topic_score_gemma":0.03199483,"domain_scores_codex":[0.9990414,0.0001344783,0.0001183412,0.0003390925,0.0002089786,0.0001576693],"domain_scores_gemma":[0.9974899,0.0007853126,0.0002188664,0.0006337937,0.0005945767,0.000277498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002716451,0.00001162026,0.0004146271,0.0005473696,0.00001439612,0.0000153906,0.00002267278,0.0001275605,0.0001093168,0.0003220193,0.9969512,0.001436504],"study_design_scores_gemma":[0.0000788047,0.00001021061,0.002233542,0.0002319439,0.0000165463,0.00004090728,0.00008437337,0.0001926598,0.0001933587,0.0007844833,0.9961146,0.00001856377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004584639,0.00002914961,0.00004326573,0.00004112891,0.00001318842,0.000006038502,0.9988262,0.0003986261,0.0005965111],"genre_scores_gemma":[0.000184939,0.00003673006,0.0001985828,0.00005231578,0.000004146564,0.00004961181,0.9988354,0.0001518699,0.000486399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364248,"threshold_uncertainty_score":0.5472136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}